ISSN (Print):
2210-2981
ISSN (Online):
2210-2914
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Current Chinese Science

Volume 4 , Issues 6, 2024

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Limited Time Complementary Open Access Offer Papers submitted before June 30th, 2025, will be published as Open Access free of charge

About The Section


Journal
Artificial Intelligence and Robotics

Publishes original research articles, letters, case reports, reviews/mini-reviews and guest edited thematic issues on various topics related to artificial intelligence and robotics.

The Artificial Intelligence and Robotics section of the journal Current Chinese Science publishes original research articles, letters, case reports, reviews/mini-reviews and guest edited thematic issues on various topics related to artificial intelligence and robotics.

This section is not limited to a specific aspect of the field but is instead devoted to a wide range of sub-fields in the area. Articles of a multidisciplinary nature are particularly welcome. Submissions in the following artificial intelligence and robotics areas are of special interest to the readers of this journal:

• Applications of robotics
• Artificial intelligence
• Artificial neural networks
• Autonomous robots
• Cognitive systems
• Computational intelligence
• Computer-aided engineering
• Human-machine systems
• Humanoid robotics
• Intelligent systems
• Knowledge-based systems
• Machine intelligence
• Machine learning and cybernetics
• Neurocomputing
• Robot manipulation
• Robot navigation
• Robotics
• Robotics and mechatronics
• Robust and nonlinear control
• Others

Editors:

Calvin Yu-Chian Chen
School of Intelligent Systems Engineering
Sun Yat-sen University
Shenzhen
China

Hong Qiao
Institute of Automation
Chinese Academy of Sciences
Beijing
China


cphs editor Editor(s) Honorary Senior Advisor(s) ccs_murad_f_001 Murad Prof Ferid Department of Medicine Stanford University Stanford, CA USA Editors air_chen-cyc-as_001 Chen Calvin Yu-Chian Sun Yat-sen University Shenzhen China

Prof. Calvin Yu-Chian Chen is the Director of Intelligent Medical Center and a professor of school of intelligent systems engineering, Sun Yat-sen University. He also serves as an advisor and researcher in China Medical University, Asia University, Massachusetts Institute of Technology (MIT) and a guest professor in Peking University, University of Pittsburgh, and adjunct professor in Zhejiang University. He had built the world’s largest traditional Chinese medicine database (http://tcm.cmu.edu.tw/) and the world’s first cloud-computing CADD system (http://iScreen.cmu.edu.tw/). He also built the world first integrated TCM and combine docking, molecular dynamics cloud-computing systems, iSMART (http://iSmart.cmu.edu.tw/). Prof. Chen’s laboratory focuses on interdisciplinary issues, such as artificial intelligent technology application in medicine, bioinformatics, systems biology, chemoinformatics, and pharmainformatics. Now his research focuses on building an expert system to help doctors for clinical medical treatment by using deep learning and big data technology from all the databases and new artificial algorithms that he had built.

[email protected] Orcid Scopus RsearcherId
air_h-Qiao-sh_001 Qiao Hong Chinese Academy of Sciences Beijing China

Dr. Hong Qiao is currently the Deputy Director of State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. She received her Ph.D. degree from De Montfort University Leicester in 1995. She is an internationally-recognized and highly-cited pioneer researcher in high-precision robotic manipulation and biologically-inspired robotic cognition and manipulation. Her theory of “Attractive Region in Environment (ARIE)” —reported as “Qiao’s Concept” —has been widely applied in industrial robots in China. She has been selected as the Member of the Administrative Committee of IEEERobotics and Automation Society. She also serves as AEs of 6 IEEE Transactions and Editor-in-chief of Assembly Automation (SCI).

[email protected] Scopus RsearcherId

Section: Artificial Intelligence and Robotics


Review Article

Breast Cancer Segmentation in Mammogram Using Artificial Intelligence and Image Processing: A Systematic Review

Volume: 3, Issue: 1
Pp: 3-22
Author: Wajeeha Ansar and Basit Raza*
DOI: 10.2174/2210298102666220406121814
Published on: 22 September, 2022

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